def batch_encrypted_entities(self):
table_name = self._create_table()
entity1 = self._create_entity_for_encryption()
entity2 = self._create_entity_for_encryption()
entity2['PartitionKey'] = entity1['PartitionKey']
# Batches will encrypt the entities at the time of inserting into the batch, not
# committing the batch to the service, so the encryption policy must be
# passed in at the time of batch creation.
kek = KeyWrapper('key1')
batch = TableBatch(require_encryption=True, key_encryption_key=kek)
batch.insert_entity(entity1)
batch.insert_entity(entity2)
self.service.commit_batch(table_name, batch)
# When using the batch as a context manager, the tableservice object will
# automatically apply its encryption policy to the batch.
entity3 = self._create_entity_for_encryption()
entity4 = self._create_entity_for_encryption()
entity4['PartitionKey'] = entity3['PartitionKey']
self.service.key_encryption_key = KeyWrapper('key1')
with self.service.batch(table_name) as batch:
batch.insert_entity(entity3)
batch.insert_entity(entity4)
# Note that batches follow all the same client-side-encryption behavior as
# the corresponding individual table operations.
self.service.delete_table(table_name)
def batch(self):
table_name = self._create_table()
entity = Entity()
entity.PartitionKey = 'batch'
entity.test = True
# All operations in the same batch must have the same partition key but different row keys
# Batches can hold from 1 to 100 entities
# Batches are atomic. All operations completed simulatenously. If one operation fails, they all fail.
# Insert, update, merge, insert or merge, insert or replace, and delete entity operations are supported
# Context manager style
with self.service.batch(table_name) as batch:
for i in range(0, 5):
entity.RowKey = 'context_{}'.format(i)
batch.insert_entity(entity)
# Commit style
batch = TableBatch()
for i in range(0, 5):
entity.RowKey = 'commit_{}'.format(i)
batch.insert_entity(entity)
self.service.commit_batch(table_name, batch)
self.service.delete_table(table_name)
def test_query_entities_large(self):
# Arrange
table_name = self._create_query_table(0)
total_entities_count = 1000
entities_per_batch = 50
for j in range(total_entities_count // entities_per_batch):
batch = TableBatch()
for i in range(entities_per_batch):
entity = Entity()
entity.PartitionKey = 'large'
entity.RowKey = 'batch{0}-item{1}'.format(j, i)
entity.test = EntityProperty(EdmType.BOOLEAN, 'true')
entity.test2 = 'hello world;' * 100
entity.test3 = 3
entity.test4 = EntityProperty(EdmType.INT64, '1234567890')
entity.test5 = datetime(2016, 12, 31, 11, 59, 59, 0)
batch.insert_entity(entity)
self.ts.commit_batch(table_name, batch)
# Act
start_time = datetime.now()
entities = list(self.ts.query_entities(table_name))
elapsed_time = datetime.now() - start_time
# Assert
print('query_entities took {0} secs.'.format(
elapsed_time.total_seconds()))
# azure allocates 5 seconds to execute a query
# if it runs slowly, it will return fewer results and make the test fail
self.assertEqual(len(entities), total_entities_count)
def test_batch_strict_mode(self):
# Arrange
self.ts.require_encryption = True
entity = self._create_default_entity_for_encryption()
# Act
batch = TableBatch(require_encryption=True)
# Assert
with self.assertRaises(ValueError):
batch.insert_entity(entity)
def test_batch_reuse(self):
# Arrange
table2 = self._get_table_reference('table2')
self.ts.create_table(table2)
# Act
entity = Entity()
entity.PartitionKey = '003'
entity.RowKey = 'batch_all_operations_together-1'
entity.test = EntityProperty(EdmType.BOOLEAN, 'true')
entity.test2 = 'value'
entity.test3 = 3
entity.test4 = EntityProperty(EdmType.INT64, '1234567890')
entity.test5 = datetime.utcnow()
batch = TableBatch()
batch.insert_entity(entity)
entity.RowKey = 'batch_all_operations_together-2'
batch.insert_entity(entity)
entity.RowKey = 'batch_all_operations_together-3'
batch.insert_entity(entity)
entity.RowKey = 'batch_all_operations_together-4'
batch.insert_entity(entity)
self.ts.commit_batch(self.table_name, batch)
self.ts.commit_batch(table2, batch)
batch = TableBatch()
entity.RowKey = 'batch_all_operations_together'
batch.insert_entity(entity)
entity.RowKey = 'batch_all_operations_together-1'
batch.delete_entity(entity.PartitionKey, entity.RowKey)
entity.RowKey = 'batch_all_operations_together-2'
entity.test3 = 10
batch.update_entity(entity)
entity.RowKey = 'batch_all_operations_together-3'
entity.test3 = 100
batch.merge_entity(entity)
entity.RowKey = 'batch_all_operations_together-4'
entity.test3 = 10
batch.insert_or_replace_entity(entity)
entity.RowKey = 'batch_all_operations_together-5'
batch.insert_or_merge_entity(entity)
self.ts.commit_batch(self.table_name, batch)
resp = self.ts.commit_batch(table2, batch)
# Assert
self.assertEqual(6, len(resp))
entities = list(
self.ts.query_entities(self.table_name, "PartitionKey eq '003'",
''))
self.assertEqual(5, len(entities))
def test_batch_too_many_ops(self):
# Arrange
entity = self._create_default_entity_dict('001', 'batch_negative_1')
self.ts.insert_entity(self.table_name, entity)
# Act
with self.assertRaises(AzureBatchValidationError):
batch = TableBatch()
for i in range(0, 101):
entity = Entity()
entity.PartitionKey = 'large'
entity.RowKey = 'item{0}'.format(i)
batch.insert_entity(entity)
self.ts.commit_batch(self.table_name, batch)
def test_batch_different_partition_operations_fail(self):
# Arrange
entity = self._create_default_entity_dict('001', 'batch_negative_1')
self.ts.insert_entity(self.table_name, entity)
# Act
with self.assertRaises(AzureBatchValidationError):
batch = TableBatch()
entity = self._create_updated_entity_dict('001',
'batch_negative_1')
batch.update_entity(entity)
entity = self._create_default_entity_dict('002',
'batch_negative_1')
batch.insert_entity(entity)
def put(runData, testData):
azureTable = getTableConnection()
batch = TableBatch()
entity = {}
# Add the run data to the batch.
for key, value in runData.items():
if key == 'partitionkey':
entity['PartitionKey'] = value
elif key == 'rowkey':
entity['RowKey'] = '{0}_{1}'.format(value, 0)
else:
entity[key] = str(value)
batch.insert_entity(entity)
# Add the test data to the batch.
rowNo = 1
for testName, testResults in testData.items():
entity = {}
entity['PartitionKey'] = runData['partitionkey']
entity['RowKey'] = '{0}_{1}'.format(runData['rowkey'], rowNo)
entity['test_name'] = testName
for metric, value in testResults.items():
entity[metric] = str(value)
# Azure Table only allows batches of 100 entities.
if rowNo % 100 == 0:
azureTable.commitBatch(batch)
batch = TableBatch()
batch.insert_entity(entity)
rowNo += 1
# Commit any leftovers in the batch.
azureTable.commitBatch(batch)
print '======================================================================'
print 'Benchmark data successfully saved to Azure Table Storage'
print '======================================================================'
print 'PartitionKey: {0}'.format(runData['partitionkey'])
print 'RowKey: {0}'.format(runData['rowkey'])
print '# of records inserted: {0}'.format(rowNo)
def test_batch_insert(self):
# Arrange
# Act
entity = Entity()
entity.PartitionKey = '001'
entity.RowKey = 'batch_insert'
entity.test = EntityProperty(EdmType.BOOLEAN, 'true')
entity.test2 = 'value'
entity.test3 = 3
entity.test4 = EntityProperty(EdmType.INT64, '1234567890')
entity.test5 = datetime.utcnow()
batch = TableBatch()
batch.insert_entity(entity)
resp = self.ts.commit_batch(self.table_name, batch)
# Assert
self.assertIsNotNone(resp)
result = self.ts.get_entity(self.table_name, '001', 'batch_insert')
self.assertEqual(resp[0], result.etag)
def test_batch_inserts(self):
# Arrange
# Act
entity = Entity()
entity.PartitionKey = 'batch_inserts'
entity.test = EntityProperty(EdmType.BOOLEAN, 'true')
entity.test2 = 'value'
entity.test3 = 3
entity.test4 = EntityProperty(EdmType.INT64, '1234567890')
batch = TableBatch()
for i in range(100):
entity.RowKey = str(i)
batch.insert_entity(entity)
self.ts.commit_batch(self.table_name, batch)
entities = list(self.ts.query_entities(self.table_name, "PartitionKey eq 'batch_inserts'", ''))
# Assert
self.assertIsNotNone(entities)
self.assertEqual(100, len(entities))
